The stock assessment model described here is based on Sullivan et al.’s (1990) CASA model. CASA is entirely length-based with population dynamic calculations in terms of the number of individuals in each length group during each year. Age is largely irrelevant in model calculations. Unlike many other length-based stock assessment approaches, CASA is a dynamic, non-equilibrium model based on a f...

BACKGROUND To improve estimates of net primary production for terrestrial ecosystems of the continental United States, we evaluated a new image fusion technique to incorporate high resolution Landsat land cover data into a modified version of the CASA ecosystem model. The proportion of each Landsat land cover type within each 0.004 degree resolution CASA pixel was used to influence the ecosyste...

We propose a computational auditory scene analysis (CASA) model for monaural speech segregation. It deals with low-frequency and high-frequency signals differently. For high-frequency signals, it generates segments based on common amplitude modulation (AM) and groups them according to AM repetition rates. This model performs substantially better than previous CASA systems.

ii Abstract One of the goals of the National Science Foundation Engineering Research Center (ERC) for Collaborative Adaptive Sensing of the Atmosphere (CASA) is to improve storm-scale numerical weather prediction (NWP) by collecting data with dense X-band radar network which provides high-resolution low-level coverage, and by assimilating such data into NWP models. During the first spring storm...

One of the goals of the National Science Foundation Engineering Research Center (ERC) for Collaborative Adaptive Sensing of the Atmosphere (CASA) is to improve storm-scale numerical weather prediction (NWP) by collecting data with a dense X-band radar network that provides high-resolution low-level coverage, and by assimilating such data into NWP models. During the first spring storm season aft...

As an emerging discipline, Component-Aware System Architecting (CASA) takes advantage of the composition of reusable heterogenous architectural components developed by different people, at different time. CASA can also collaborate with component-aware requirements elicitation to strengthen component-aware requirements’ claims. However, CASA does not come for free, one of many challenges facing ...

BACKGROUND The objective of this study was to demonstrate a new, cost-effective method to define the sustainable amounts of harvested wood products in Southeast Asian countries case studies, while avoiding degradation (net loss) of total wood carbon stocks. Satellite remote sensing from the MODIS sensor was used in the CASA (Carnegie Ames Stanford Approach) carbon cycle model to map forest prod...

Structure prediction and computational protein design should benefit from accurate solvent models. We have applied implicit solvent models to two problems that are central to this area. First, we performed sidechain placement for 29 proteins, using a solvent model that combines a screened Coulomb term with an Accessible Surface Area term (CASA model). With optimized parameters, the prediction q...

1 Third-year Resident Physician, Department of Otorhinolaryngology, Santa Casa de São Paulo. 2 MSc. in Otorhinolaryngology, Medical Sciences School of the Santa Casa de São Paulo, Doctoral Student, Medical Sciences School of the Santa Casa de São Paulo. (Assistant Professor, Department of Otorhinolaryngology, Santa Casa de São Paulo). 3 Fifth-year Medical Student, Medical Sciences School of the...

1 Assistant Professor, Faculdade de Ciências Médicas da Santa Casa de São Paulo, and Chief of the Mastology Outpatient Clinic of Santa Casa de Misericórdia de são Paulo, São Paulo, SP, Brazil. 2 Professor, Faculdade de Ciências Medicas da Santa Casa de São Paulo and Chief of Gyecology and Menopause Clinic of Santa Casa de São Paulo, São Paulo, SP, Brazil. 3 M.D., Santa Casa de Misericórdia de S...